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ml-for-speech
/
language-classification

Audio Classification
Transformers
Safetensors
whisper
Model card Files Files and versions
xet
Community

Instructions to use ml-for-speech/language-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ml-for-speech/language-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="ml-for-speech/language-classification")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("ml-for-speech/language-classification")
    model = AutoModelForAudioClassification.from_pretrained("ml-for-speech/language-classification")
  • Notebooks
  • Google Colab
  • Kaggle
language-classification
83 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
mrfakename's picture
mrfakename
Update README.md
81072e7 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.34 kB
    Update README.md about 2 years ago
  • config.json
    4.3 kB
    Add model about 2 years ago
  • model.safetensors
    82.9 MB
    xet
    Add model about 2 years ago
  • preprocessor_config.json
    339 Bytes
    Add model about 2 years ago